13,047 research outputs found
Control Plane Compression
We develop an algorithm capable of compressing large networks into a smaller
ones with similar control plane behavior: For every stable routing solution in
the large, original network, there exists a corresponding solution in the
compressed network, and vice versa. Our compression algorithm preserves a wide
variety of network properties including reachability, loop freedom, and path
length. Consequently, operators may speed up network analysis, based on
simulation, emulation, or verification, by analyzing only the compressed
network. Our approach is based on a new theory of control plane equivalence. We
implement these ideas in a tool called Bonsai and apply it to real and
synthetic networks. Bonsai can shrink real networks by over a factor of 5 and
speed up analysis by several orders of magnitude.Comment: Extended version of the paper appearing in ACM SIGCOMM 201
The Price of Updating the Control Plane in Information-Centric Networks
We are studying some fundamental properties of the interface between control
and data planes in Information-Centric Networks. We try to evaluate the traffic
between these two planes based on allowing a minimum level of acceptable
distortion in the network state representation in the control plane. We apply
our framework to content distribution, and see how we can compute the overhead
of maintaining the location of content in the control plane. This is of
importance to evaluate content-oriented network architectures: we identify
scenarios where the cost of updating the control plane for content routing
overwhelms the benefit of fetching a nearby copy. We also show how to minimize
the cost of this overhead when associating costs to peering traffic and to
internal traffic for operator-driven CDNs.Comment: 10 pages, 12 figure
Next-Generation SDN and Fog Computing: A New Paradigm for SDN-Based Edge Computing
In the last few years, we have been able to see how terms like Mobile Edge Computing, Cloudlets, and Fog computing have arisen as concepts that reach a level of popularity to express computing towards network Edge. Shifting some processing tasks from the Cloud to the Edge brings challenges to the table that might have been non-considered before in next-generation Software-Defined Networking (SDN). Efficient routing mechanisms, Edge Computing, and SDN applications are challenging to deploy as controllers are expected to have different distributions. In particular, with the advances of SDN and the P4 language, there are new opportunities and challenges that next-generation SDN has for Fog computing. The development of new pipelines along with the progress regarding control-to-data plane programming protocols can also promote data and control plane function offloading. We propose a new mechanism of deploying SDN control planes both locally and remotely to attend different challenges. We encourage researchers to develop new ways to functionally deploying Fog and Cloud control planes that let cross-layer planes interact by deploying specific control and data plane applications. With our proposal, the control and data plane distribution can provide a lower response time for locally deployed applications (local control plane). Besides, it can still be beneficial for a centralized and remotely placed control plane, for applications such as path computation within the same network and between separated networks (remote control plane)
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